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Average Rate of Return with Uncertainty

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 300))

Abstract

In investment appraisal, uncertainty can be managed through intervals or fuzzy numbers. The arithmetical properties and the extension principle are well established and can be successfully applied in a rigorous way. The investments ranking is preferably performed when the decision maker dispone of an interest.

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© 2012 Springer-Verlag Berlin Heidelberg

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Guerra, M.L., Magni, C.A., Stefanini, L. (2012). Average Rate of Return with Uncertainty. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31724-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-31724-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31723-1

  • Online ISBN: 978-3-642-31724-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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